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Keyword: GABangla Speech Emotion Detection using Machine Learning Ensemble Methods
Emotion is the most important component of being human, and very essential for everyday activities, such as the interaction between people, decision making, and learning. In order to adapt to the COVID-19 pandemic situation, most of the academic institutions relied on online video conferencing platforms to continue educational activities. Due to low bandwidth in many…
Read MoreThe Perceptions of Students and Teachers When using ICTs for Educational Practices Matter: A Systematic Review
Before succumbing to the 2019 Coronavirus pandemic, information and communication technologies (ICTs) have sustained a ubiquitous presence in human lives and society. ICTs have changed the standards and dynamics of educational practices (EPs). Many academic institutions had already integrated technological-based pedagogical instructions into their educational practices but, in various cases, faced challenges of failing to…
Read MoreHybrid Neural Network Method for Predicting the SOH and RUL of Lithium-Ion Batteries
The use of a battery to power an electrical or electronic system is accompanied by battery management, i.e. a set of measures intended to preserve it for preventative maintenance, thus the cost reduction. This management is generally based on two key parameters, the (remaining useful life) RUL and the (State-of-health) SOH, which relate respectively to…
Read MoreAssociation Rules for Knowledge Discovery From E-News Articles: A Review of Apriori and FP-Growth Algorithms
Owing to technological development, the internet has become the world’s largest platform where an unaccountable amount of e-news information is freely available to use. Most of the time, e-newspaper readers have to examine the massive collection of e-news articles to locate necessary information relevant to them. Massive semi-structured and unstructured texts usually mislead the readers…
Read MoreAutomatic Counting Passenger System using Online Visual Appearance Multi-Object Tracking
In recent years, people-counting problems have increased in popularity, especially in crowded indoor spaces, e.g., public transport. In peak hours, trains move significant numbers of passengers, producing delays and inconveniences for their users. Therefore, analysing how people use public transport is essential to solving this problem. The current analysis estimates how many people are inside…
Read MoreA Self-Adaptive Routing Algorithm for Real-Time Video Transmission in VANETs
Given the strict Quality of Experience (QoE) and Quality of Service (QoS) criteria for video transmission, such as delivery ratio, transmission delay, and mean opinion Score (MOS), video streaming is one of the hardest challenges in Vehicular Ad-Hoc Networks (VANETs). Additionally, VANET attributes, including environmental impediments, fluctuating vehicle density, and highly dynamic topology, have an…
Read MoreDEM models Calibration and Application to Simulate the Phosphate Ore Clogging
In different areas of industry (mining, food processing, pharmaceutical, manufacturing…), the problem of grain, aggregate and clusters flow arises during the handling activities especially loading and unloading. Thus, the study and control of the parameters that govern the flow of the granular medium and its interaction with its environment are key parameters to achieve the…
Read MoreAnalysis of Layout Arrangement for CMOS Oscillators to Reduce Overall Variation on Silicon
This investigation demonstrates the analysis of various layout arrangements for oscillator (OSC) realized by CMOS technologies. Moreover, the analysis reveals that the serpentine style of OSC stages attains the minimum output variation on silicon. This investigation is firstly verified by post-layout simulations, comparing the variation with different kinds of layout arrangement for OSC designs, including…
Read MoreEffect of Knee Orthosis on Lateral Thrust in Patients with Knee Osteoarthritis
To examine the effects of wearing a flexible knee orthosis (FKO) on the lateral thrust in patients with knee osteoarthritis (OA) by changing the wearing pressure. This study was a cross-sectional study. Thirteen patients (mean age: 82.8 ± 7.5years with Kellgren Lawrence Stages I and II knee OA were included and prescribed FKO. Patient with…
Read MoreAssessing the Impact of Integrating Solar PV System using the Equal Area Criterion Method
The impact of previous energy crisis gives an insight into what happens when the oil price crashes. Μany countries were affected due the slow reaction in boosting the economic growth in key sectors such as oil-importing activities and the economic restructuring progress to face the challenges. But the present energy crisis resulting from the COVID-19…
Read MoreAn Improved Model to Analyze the Impact of Cyber-Attacks on Power Systems
In this paper, an improved model has been proposed for investigating the impact of cyber-attacks on power systems regarding frequency disturbances and voltage disruption while changing the load called ICAPS. The proposed ICAPS model is formulated by five different controllers, such as LFC, AGC, AGC-PID, AVR, and AVR-PID, implemented in two sets of the system…
Read MoreDesign of an Off-Grid Hybrid Energy System for Electrification of a Remote Region: a Case Study of Upper Blink Water Community, South Africa
Electrifying or connecting remote and isolated communities to the national grid is very difficult and expensive. This challenge is due to the geographic locations of these isolated communities and terrain that needs navigation when installing transmission lines to transmit power to the communities. This article presents a case study of the design of a hybrid…
Read MoreBER Performance Evaluation Using Deep Learning Algorithm for Joint Source Channel Coding in Wireless Networks
In the time past, virtually all the contemporary communication systems depend on distinct source and channel encoding schemes for data transmission. Irrespective of the recorded success of the distinct schemes, the new developed scheme known as joint source channel coding technique has proven to have technically outperformed the conventional schemes. The aim of the study…
Read MoreA Comparison of Cyber Security Reports for 2020 of Central European Countries
The aim of the article is to analyze the annual reports on cyber security of Central European countries, i.e. the Czech Republic, Slovakia, Poland, Germany, and Austria. The article focuses on the development of the state of cyber security, actors of threats in cyberspace, cyber threats, and the most common types of attacks. The article…
Read MoreMetamaterial-Inspired Compact Single and Multiband Filters
In this paper, Compact bandpass filters have been designed. A single bandpass filter was designed using novel triple concentric complementary split-ring resonators placed along the microstrip line in the ground plane. Gaps and via were placed on the microstrip line to control electromagnetic characteristics, resulting in a single bandpass filter. In turn, spiral resonators were…
Read MoreOn the Prediction of One-Year Ahead Energy Demand in Turkey using Metaheuristic Algorithms
Estimation of energy demand has important implications for economic and social stability leading to a more secure energy future. One-year-ahead energy demand estimation for Turkey has been proposed in this paper, using the metaheuristics method with GDP, the total population, and the quantities of imports and exports, as inputs variables. The records obtained from historical…
Read MoreARAIG and Minecraft: A Modified Simulation Tool
Various interruptions to the daily lives of researchers have necessitated the usage of simulations in projects which may not have initially relied on anything other than physical inquiry and experiments. The programs and algorithms introduced in this paper, which is an extended version of research initially published in ARAIG And Minecraft: A COVID-19 Workaround, create…
Read MoreAssessment of Electromagnetic-Based Sensing Modalities for Red Palm Weevil Detection in Palm Trees
In this paper, we investigate the utilization of three effective detection methods to identify potential threats of insects in date palm trees. The detection techniques presented here are the application of infrared radiation, microwave antennas and metamaterials based sensors. Experimental trials using IR radiation took place in a local farm. Moreover, the second sensing system…
Read MoreLung Cancer Tumor Detection Method Using Improved CT Images on a One-stage Detector
Owing to the recent development of AI technology, various studies on computer-aided diagnosis systems for CT image interpretation are being conducted. In particular, studies on the detection of lung cancer which is leading the death rate are being conducted in image processing and artificial intelligence fields. In this study, to improve the anatomical interpretation ability…
Read MoreNiO Quantum dots Doped Triple Cation Perovskite \(\mathrm{CsMAFAPbI_2Br_2}\) Heterojunction Photodetector with High Responsivity
Optoelectronic devices applications based on Organic–inorganic perovskites are promising and effective low-cost energy materials due to their exceptional physical properties which include high carrier mobility, high optical absorption coefficient, and long carrier diffusion length. In the presented work, a TiO2/NiO+5% Fe quantum dots (QDs)–doped CsMAFAPbI2Br2 perovskite heterojunction broadband photodetector was fabricated on FTO/glass substrate. The…
Read MoreDeep Learning Affective Computing to Elicit Sentiment Towards Information Security Policies
Information security behaviour is an integral part of modern business and has become a central theme in many research studies. One of the essential tools available that can be used to influence information security behaviour is information security policies (ISPs). These types of policies, which is mandatory in most organisations, are formalised rules and regulations…
Read MoreAutomated Robotic System for Sample Preparation and Measurement of Heavy Metals in Indoor Dust Using Inductively Coupled Plasma Mass Spectrometry (ICP-MS)
Dust is ubiquitous in our daily environment—outdoor and indoor. In modern times, people often spend the majority of their time at home, in offices, at work or in schools. Suspended particles such as tiny crumbs up to long fibers generate indoor dust deposits. Inhouse sources are the interior releasing abraded fibers from carpets, bedding and…
Read MoreIndoor Position and Movement Direction Estimation System Using DNN on BLE Beacon RSSI Fingerprints
In this paper, we propose a highly accurate indoor position and direction estimation system using a simple fully connected deep neural network (DNN) model on Bluetooth Low Energy (BLE) Received Signal Strength Indicators (RSSIs). Since the system’s ultimate goal is to function as an indoor navigation system, the system estimates the indoor position simultaneously as…
Read MoreA CMOS On-Chip High-Precision PVTL Detector
A novel PVTL (Process, Voltage, Temperature, Leakage) detection circuit consisting of four individual detectors is proposed in the investigation. Voltage Variation Detector is composed of a feedback control block comprising multi-stage delay cells using high Vth devices such that 0.5% of VDD variation can be detected. Temperature Detector based on a current to pulse converter…
Read MoreEncompassing Chaos in Brain-inspired Neural Network Models for Substance Identification and Breast Cancer Detection
The main purpose in this work is to explore the fact that chaos, as a biological characteristic in the brain, should be used in an Artificial Neural Network (ANN) system. In fact, as long as chaos is present in brain functionalities, its properties need empirical investigations to show their potential to enhance accuracies in artificial…
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